金属热处理计算机辅助工艺设计系统研究与开发

研究了.Net框架下C/S模式的金属热处理计算机辅助工艺设计(MHTCAPP)系统的开发。使用C#语言作为前台开发工具,Microsoft SQL Server作为后台数据库管理,以保证系统稳定、高效运行。基于软件生命周期法,从需求分析、总体设计、数据库设计以及详细设计等方面深入分析了系统的构建方法。MHTCAPP系统实现了常规热处理工艺的计算机辅助设计,结果可靠。系统提供了关于材料信息、工艺信息的多模式查询功能;具有可更新、可拓展性,并具有用户权限设置功能,保证系统数据安全。     

缓蚀剂理论与研究方法的进展

本文简要回顾了近年来缓蚀剂研究的进展。重点讨论了吸附型缓蚀剂作用机理和研究方法的进展。缓蚀剂作用方式和分子结构与缓蚀作用的关系是基础研究中最活跃的领域。电化学方法仍然是缓蚀剂研究的主流方法,而暂态方法已愈来愈受重视。与此同时,也指出缓蚀剂研究中还存在一些不平衡现象。     

整体叶轮五轴数控加工仿真与优化

根据整体叶轮的几何特点确定叶轮五轴数控铣削加工工艺路线,并通过UG/Post Builder后置处理器生成了NC代码;利用VERICUT数控加工仿真功能建立了五轴数控加工仿真平台,实现了加工过程的仿真、优化和NC代码验证,缩短了叶轮加工的生产周期。     

基于UGNX的叶轮五坐标数控加工方法研究

叶轮具有结构复杂、数量种类多的特点,重要用途的叶轮一般由可展直纹面和自由曲面构成。这种结构的叶轮具有曲率变化大、流道窄及扭角大等特点,比较难加工。本文以UG NX为平台,对自由曲面叶轮进行造型设计,从工艺参数的确定、到位规划和后置处理,最后在菲迪亚HS664 RT五轴加工中心上进行五轴加工完成零件的试切加工,证实了该方法的合理性和有效性。     

基于电液协调式液压挖掘机复合动作工况下能量回收系统研究

为实现液压挖掘机动臂与转台复合动作时的能量回收,提出一种基于蓄能器-液压马达-发电机的液压挖掘机电液协调式能量回收系统。在标准工况下的单个工作周期内对系统模型进行仿真分析,研究关键参数对系统节能效果的影响。结果表明:在参数合理匹配的情况下,此系统回转制动能量回收率为61.08%,动臂下降能量回收率为27.23%,综合能量回收率达到了44.79%,综合能量再利用率达到了47.37%,节能效果良好;在合理的范围内,选择初始容积小的蓄能器和排量小的回收马达能提高系统的能量回收率。     

基于改进蚁群算法的农用喷药机器人路径规划

研究农用喷药机器人路径规划问题,提出一种基于改进蚁群算法的路径寻优方法。首先,获取实际工作环境信息,抽象化处理工作环境,采用栅格法建立喷药机器人工作环境模型;其次,为使算法搜索更具目的性,引入目标点诱导机制,设计新的距离启发函数,并在此基础上对状态转移概率进行改进;为避免算法搜索出现停滞和提高路径搜索效率,通过引入信息素阈值限定、信息素局部和全局更新相结合的策略对信息素更新方式进行优化;最后,通过仿真实验测试两种算法解决喷药机器人路径规划问题的实际效果。结果表明:两种算法均能有效解决喷药机器人路径规划问题,且相比传统蚁群算法,改进蚁群算法不仅可以有效改善自身收敛性能,而且可以增强自身全局寻优能力。     

基于三坐标测量机的非圆齿轮误差测量

为了提高非圆齿轮的测量精度和效率,提出应用三坐标测量机进行测量的思想。从制造工艺上根据非圆齿轮有别于圆齿轮的特点,提出适用于非圆齿轮的误差项目。通过类比圆柱齿轮精度指标公差的计算方法,找到非圆齿轮精度指标公差的计算方法。选取合适的测头、对测量路径进行规划、采用三坐标测量机实现对非圆齿轮的逐齿扫描测量,以获得非圆齿轮的齿廓数据值。在此基础上,对数据值进行曲线拟合和计算,从而得出非圆齿轮的误差。     

Decentralised production-distribution planning system using collaborative agents in supply chain network

With the fast development of information technology and the global market, collaboration between different functional units in a supply chain becomes one of the most critical factors for global companies to respond to rapid changes in customer needs and increase the efficiency of the whole supply chain. This supply chain environment requires a production-distribution planning system to enable the collaboration between production and distribution units more quickly and orderly. Generally, collaboration in a supply chain needs to resolve conflicts between two decentralised functional units, because each unit tries to locally minimise its own costs, not the overall supply chain costs. Also, there exists incomplete information sharing according to the information privacy of each functional unit. This paper proposes a decentralised production-distribution planning system using collaborative agents that can efficiently mediate the planning gaps between two decentralised planning functions: production and distribution. The validity of collaborative-agent model has been shown using some lemmas and numerical examples.     

Development of a generative CAPP system for axisymmetric components for a job shop environment

Process planning is a function in a manufacturing organization that selects the manufacturing processes and parameters to be used to transform a part from its initial state to the final form according to the design specifications. It is a bridge between product design and product manufacturing. The activities of process planning include understanding the part specifications or product design data, selection of job material and tool, setup planning, sequencing the operations within a setup, determination of process parameters for each operation, and generation of process sheets. This paper outlines a method to develop a generative computer-aided process planning system for axisymmetric components for a job shop environment. A decision support system is used to perform semi-structured tasks such as setup planning and establishing precedence relationship among various operations.